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Bigrams and trigrams are commonly used in statistical natural language processing; this paper will describe techniques for working with much longer n-grams. Suffix arrays (Manber and Myers 1990) were ...
Three linguistic processes have been previously proposed to account for the influence of language on deductive reasoning. To test for these processes,100 5"s were each asked to solve 64 different form...
Categorical perception (CP) of color is the faster and more accurate discrimination of two colors from different categories than two colors from the same category, even when same- and differentcategor...
Acoustic feature similarity between search results has been shown to be very helpful for the task of spoken term detection (STD).A graph-based re-ranking approach for STD has been proposed based on th...
A widely used approach for keyword extraction and content-based tag recommendation is ranking terms according to some statistical criteria. In many cases documents such as news articles and product re...
This paper prompt a method to construct the Chinese-English term bank in the information science and technology field. It is important to create a well knowledge classification system before we constr...
‘Synonymous Term’ is one of the most important features in term bank construction. Usually, this feature is described manually by field experts or terminologists. Work has been done to extract synonym...
In this paper, a corpus-base approach is presented in the construction of the information science and technology term bank in which domain classification, reference and part of the definition are extr...
Automatic term extraction is one of the most important way to maintain and update the term bank timely. This paper puts forward a method of automatic term extraction, which extracts terms in the Domai...
This article provides a research synthesis of studies that have examined language-minority students' academic achievement over a period of four or more years, for a comparison with the longitudinal fi...
Traditional tfidf-like term weighting schemes have a rough statistic — idf as the term weighting factor, which does not exploit the category information (category labels on documents) and intra-docume...

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